- Code STAT3004
- Unit Value 6 units
- Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
- ANU College ANU College of Business and Economics
- Course subject Statistics
- Areas of interest Finance, Statistics
This course involves on campus teaching. For students unable to come to campus there will be a remote option. See the Class Summary for more details.
The course offers an introduction into modern probability theory, including probability spaces, random variables, conditional probability and independence, limit theorems, Markov chains and martingales with an outlook towards advanced stochastic processes. The course will emphasise practical understanding and applications as well as a solid theoretical foundation for the subject.
The course will provide a sound foundation to progress to STAT3006, as well as other honours and post-graduate courses emphasizing mathematical finance, stochastic analysis and statistical as well as actuarial sciences.
Upon successful completion, students will have the knowledge and skills to:
- Explain the fundamental concepts of probability theory and its position in modern statistical and mathematical sciences and applied contexts;
- Demonstrate accurate and efficient use of probability theory techniques;
- Demonstrate mathematical reasoning through analyzing, proving and explaining concepts from probability theory; and
- Apply problem-solving techniques using probabilistic methods in various situations.
- Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate (100) [LO 1,2,3,4]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Students are expected to commit 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time.
Requisite and Incompatibility
Information about the prescribed textbook will be available via the Class Summary.
Assumed KnowledgeStudents will require a good background in introductory mathematical statistics and probability concepts, including random variables, probability distributions, etc.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|4238||21 Feb 2022||28 Feb 2022||31 Mar 2022||27 May 2022||In Person||N/A|